-trace_after_instrs unable to skip ~trillion instructions

I'm running NCF deep learning workload https://github.com/hexiangnan/neural_collaborative_filtering
and trying to collect offline traces for the Neural Matrix Factorization (NeuMF) python application. Workload initially loads data, I'd like to skip this part in tracing so I'm specifying -trace_after_instrs 1000000M (loading the data takes roughly these many instructions according to perf stat). While drrun without cache sim tool and drrun -t drcachesim with -trace_after_instrs 1000M run successfully, former run (-t drcachesim -trace_after_instrs 1000000M) crashes.
Decided to not turn on debug as it might skew the instruction count. We want to start tracing
the correct region. It seems with DR each iteration is taking 75sec (w/o DR it takes 44 sec)

a) after skipping 1000M instructions

root@r2d2-hal5000:/home/daenerys/workloads/neural_collaborative_filtering# /home/daenerys/tools/DynamoRIO/DynamoRIO-x86_64-Linux-7.90.17998-0/bin64/drrun -t drcachesim -offline -trace_after_instrs 1000M -exit_after_tracing 1000M -- /home/daenerys/tools/ncf/bin/python /home/daenerys/workloads/neural_collaborative_filtering/NeuMF.py --dataset ml-1m --epochs 20 --batch_size 256 --num_factors 8 --layers [64,32,16,8] --num_neg 4 --lr 0.001 --learner adam --verbose 1 --out 1 --mf_pretrain /home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_GMF_8_1501651698.h5 --mlp_pretrain /home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_MLP_[64,32,16,8]_1501652038.h5
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
Hit delay threshold: enabling tracing.
Using Theano backend.
NeuMF arguments: Namespace(batch_size=256, dataset='ml-1m', epochs=20, layers='[64,32,16,8]', learner='adam', lr=0.001, mf_pretrain='/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_GMF_8_1501651698.h5', mlp_pretrain='/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_MLP_[64,32,16,8]_1501652038.h5', num_factors=8, num_neg=4, out=1, path='Data/', reg_layers='[0,0,0,0]', reg_mf=0, verbose=1)
Exiting process after ~1048577095 references.

b) skipping 1T instructions
Even though error messages are pointing to Theano code; this program has been run several times without DR and with DR (no drachesim; -trace_after_instrs 1000M) and it ran successfully.

/home/daenerys/tools/DynamoRIO/DynamoRIO-x86_64-Linux-7.90.17998-0/bin64/drrun -t drcachesim -offline -trace_after_instrs 1000000M -exit_after_tracing 1000M -- /home/daenerys/tools/ncf/bin/python /home/daenerys/workloads/neural_collaborative_filtering/NeuMF.py --dataset ml-1m --epochs 20 --batch_size 256 --num_factors 8 --layers [64,32,16,8] --num_neg 4 --lr 0.001 --learner adam --verbose 1 --out 1 --mf_pretrain /home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_GMF_8_1501651698.h5 --mlp_pretrain /home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_MLP_[64,32,16,8]_1501652038.h5
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
Using Theano backend.
NeuMF arguments: Namespace(batch_size=256, dataset='ml-1m', epochs=20, layers='[64,32,16,8]', learner='adam', lr=0.001, mf_pretrain='/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_GMF_8_1501651698.h5', mlp_pretrain='/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_MLP_[64,32,16,8]_1501652038.h5', num_factors=8, num_neg=4, out=1, path='Data/', reg_layers='[0,0,0,0]', reg_mf=0, verbose=1)
Load data done [64.3 s]. #user=6040, #item=3706, #train=994169, #test=6040
Load pretrained GMF (/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_GMF_8_1501651698.h5) and MLP (/home/daenerys/workloads/neural_collaborative_filtering/Pretrain/ml-1m_MLP_[64,32,16,8]_1501652038.h5) models done.

You can find the C code in this temporary file: /tmp/theano_compilation_error_QEfVMn
ERROR (theano.gof.opt): Optimization failure due to: constant_folding
ERROR (theano.gof.opt): node: InplaceDimShuffle{x,x}(TensorConstant{0.5})
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 2034, in process_node
replacements = lopt.transform(node)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/tensor/opt.py", line 6516, in constant_folding
no_recycling=[], impl=impl)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/op.py", line 955, in make_thunk
no_recycling)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/op.py", line 858, in make_c_thunk
output_storage=node_output_storage)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1217, in make_thunk
keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1157, in __compile__
keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1624, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 1189, in module_from_key
module = lnk.compile_cmodule(location)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1527, in compile_cmodule
preargs=preargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2396, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: ('Compilation failed (return status=255): Fatal error: failed to write trace. ', '[InplaceDimShuffle{x,x}(TensorConstant{0.5})]')

^CTraceback (most recent call last):
File "/home/daenerys/workloads/neural_collaborative_filtering/NeuMF.py", line 202, in
(hits, ndcgs) = evaluate_model(model, testRatings, testNegatives, topK, evaluation_threads)
File "/home/daenerys/workloads/neural_collaborative_filtering/evaluate.py", line 48, in evaluate_model
(hr,ndcg) = eval_one_rating(idx)
File "/home/daenerys/workloads/neural_collaborative_filtering/evaluate.py", line 63, in eval_one_rating
batch_size=100, verbose=0)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/keras/engine/training.py", line 1177, in predict
self._make_predict_function()
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/keras/engine/training.py", line 735, in _make_predict_function
**kwargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 667, in function
return Function(inputs, outputs, updates=updates, **kwargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 653, in __init__
**kwargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/compile/function.py", line 317, in function
output_keys=output_keys)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/compile/pfunc.py", line 486, in pfunc
output_keys=output_keys)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1839, in orig_function
name=name)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1519, in __init__
optimizer_profile = optimizer(fgraph)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 108, in __call__
return self.optimize(fgraph)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 97, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 251, in apply
sub_prof = optimizer.optimize(fgraph)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 97, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 2540, in apply
sub_prof = gopt.apply(fgraph)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 2143, in apply
nb += self.process_node(fgraph, node)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/opt.py", line 2034, in process_node
replacements = lopt.transform(node)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/tensor/opt.py", line 6516, in constant_folding
no_recycling=[], impl=impl)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/op.py", line 955, in make_thunk
no_recycling)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/op.py", line 858, in make_c_thunk
output_storage=node_output_storage)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1217, in make_thunk
keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1157, in __compile__
keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1624, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 1189, in module_from_key
module = lnk.compile_cmodule(location)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1527, in compile_cmodule
preargs=preargs)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2351, in compile_str
p_out = output_subprocess_Popen(cmd)
File "/home/daenerys/tools/ncf/local/lib/python2.7/site-packages/theano/misc/windows.py", line 80, in output_subprocess_Popen
out = p.communicate()
File "/usr/lib/python2.7/subprocess.py", line 800, in communicate
return self._communicate(input)
File "/usr/lib/python2.7/subprocess.py", line 1417, in _communicate
stdout, stderr = self._communicate_with_poll(input)
File "/usr/lib/python2.7/subprocess.py", line 1471, in _communicate_with_poll
ready = poller.poll()
KeyboardInterrupt